Requirements establishment and definition are very critical tasks in software development. This study discusses the process of requirements definition, and key characteristics affecting the success of software projects development. An evaluation framework is proposed in order to verify users’ requirements and reduce associated risks on software project development. The framework was developed based on the relationships between the components of software project request. A preliminary assessment study was conducted and confirmed the applicability and usefulness of the proposed framework in detecting errors in user’s requirements.

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Journal: Journal of Convergence Information Technology(JCIT) Volume9, Number2, March 2014

the use of biometric information has been widely known for both people identification and security application. It is common knowledge that each person can be identified by the unique characteristics of one or more of biometric features. One most unique and identifiable biometric characteristics is the iris, wherever the second is the voice, and the third is finger print. This research attempts to apply iris recognition techniques based on the technology invented by Dr. John G. Daugman, an attempt of implementing a build an end user application. Iris Recognition is expected to play a major role in a wide range of applications in which a person's identity must be established or confirmed in high reliability and high privacy, Including access controls, authorizations, ID detection, etc. This research depends on standard iris images was token from CASIA database. The most efficient computer language for simulation and technical computing (MATLAB) will be used to make the problem statement and result in addition to mathematical and AI modelling more easier and reliable.

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Journal: (IJCSIS) International Journal of Computer Science and Information Security, Vol. 11, No. 2, February 2013

In the rise rabid research related to biometrics, bio-informatics and genome; many researches, fields, and issues are still undergoing any uncertainties. One of the hottest areas in this field of research is the proteins informatics, that is relates the protein data with the modern information technology and it includes portions mapping and classification. This paper contributes an intelligent system which consists of adaptive neuro-fuzzy computations that is able to recognize and classify the proteins in families. An intelligent trainer will be structured based on Perceptron neural network in order to build an intelligent fuzzy inference system that is capable of predicting and classifying that data into categories according to the function of each protein. The structured system preprocesses that data set and extracts unique features from it. The system was built using a highly developed programming language. This paper will clearly show the results that such system achievement about 92% of accuracy when over 1000 inputs sequence of the validation sample was processed.

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Journal: International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 (Volume-2, Issue-4)

As a completion of Arabic hand written recognition, the Arabic numbers which are commonly known as “Old-Indian Numbers” are taken place in full text recognition and applications. Hand written Arabic numbers have less complexity than Arabic characters, but such researches are has few interests. The curves shape of these numbers make its characteristics difficult to be recognized by intelligent systems. This paper adapts and implements neural network to takes the features of number segment and recognize it in high reliability and accuracy. The numbers are being segmented by morphological approach. A MATLAB based program is developed to validity testing of the proposed system enhance the accuracy to by 98% over the testing data set.

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Journal: Journal of Emerging Trends in Computing and Information Sciences,VOL. 3, NO. 6, June 2012

Clustering is a type of classification under optimization problems, which is considered as a critical area of data mining. Medical clustering problem is a type of unsupervised learning in data mining. This work present a hybridization between our previous proposed Iterative Simulated Annealing (ISA) and Modified Great Deluge (MGD) algorithms for medical clustering problems. The aim of this work is to produce an effective algorithm for partitioning N objects into K clusters. The idea of the hybridization between MGD and ISA is to incorporate the strength of one approach with the strength of the other hoping a more promising algorithm. Also this combination can help to diverse the search space. Experimental results obtained two way of calculating the minimal distance that have been tested on six benchmark medical datasets show that, ISA-MGD is able to outperform some instances of MGD and ISA algorithms.

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Journal: World of Computer Science and Information Technology Journal (WCSIT) ISSN: 2221-0741 Vol. 2, No. 4, 131-136, 2012

Many clustering algorithms with different methodologies are subjected to be common techniques and main step in many applications in the computer science world. The need of adapting efficient clustering algorithm increases in critical applications (i.e. wireless sensors networks). Utilizing the Fuzzy Logic power; Fuzzy C-mean (FCM) clustering has a major role in most clustering applications. But in many cases, the result of FCM is considered to be non-complete clustering strategy. This paper adapted the FCM algorithm to enable of generating clusters with equal sizes. Also, scattered points that are located far away from all clusters are grouped out of clusters. Another modification is to localize specific points that have ability to locate in more than one cluster; hence this has a non-negligible importance in some fields such as cellular communications.

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Journal: World of Computer Science and Information Technology Journal (WCSIT) ISSN: 2221-0741 Vol. 2, No. 1, 42-45, 2012

This paper, proposes a new algorithm for recognition of facial expressions, called ER7ST. Studied expressions are anger, disgust, fear, happiness natural, sadness and surprise. Proposed method is based on extraction of the essential objects, then finding of characteristic points positions of each object. Detected points slant and its average are calculated on the basis of fixed points. Mug database is considered as data source for training and testing. We collect set of images. ER7ST is designed to define the work area of face that contains characteristic expressions, which its centre is face centre and its dimensions are 8×16 supposed squares. ER7ST algorithm discovers the essential objects depending on the coordinate of minimum and maximum points of each object in defined area, considering the length of object is larger than the major-axis of formed ellipse on studied object. Object gradient is ranked between [-60, +60] degrees. Our algorithm detects Convex Hull points upon detected objects and then its slant is calculated. Slant vectors are formed; some calculations are done to be a good input to network. Net contains input, three hidden layers and output layer. After training on set of faces and testing on new data, the recognition rate was promising. Algorithm can be maintained with different types of images and it did not need to scale. Finally, recognition rate is ranked between 60% and 95%, experiments have shown that method was efficient and results were very encouraging in this field, especially network can be trained on new situations of expressions.

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Journal: The International Arab Journal of Information Technology (IAJIT), 13(3), pp.320 – 326. Vol.13. 2016

A geodesic is the real world analog of a straight line. Where a straight line on a flat piece of paper minimizes the distance between two points, a geodesic minimizes the distance between two points on any surface; be it flat or not.Supposing that we have a surface in spacegiven by the equation z = f (x, y).The search for a geodesic line on this surface, or more generally in the plan provided by an arbitrary metric, may be made by solving the coupled differential second orderequations of Euler-Lagrange system. More precisely, the search of the shortest path connecting two given points may be made by solving that system for a specific initial velocity. In this paper we determine the geodesic lines corresponding the metric of type g =(dx2 + dy2) for f (x, y) defines positive. Starting from a metric of this type, we determine the Euler- Lagrange system correspondence; its solutions are geodesics. We designed geodesics and the shortest path for the given metric and a specific function f (x, y). We will need to determine the appropriate initial velocity for the system's numerical resolution of two differential equations of second order. Therefore, we are providing a suitable method for this.

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Journal: International Journal of Computer Science and Information Security, (Feb 2016), pp.19-22. Vol.14. 2016

Finding correspondences automatically from a pair of un-calibrated images is a challenging phase in 3D reconstruction. Two proposed methods based on the existing SIFT and SURF key point detector and descriptor are introduced in this work to find correspondences automatically from high resolution pair of images for aerial scenes. The characteristics of the data set involved in this research in terms of size and the presence of affine transformation add more challenges in finding the set of desirable matches.

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Journal: The Journal of MacroTrends in Technology and Innovation Vol.4. 2016

Mobile Ad-hoc network (MANET) is characterized with high mobility and frequent topology change. Routing in MANET should follow these constrains, otherwise, it can severely degrade the performance of MANET. Greedy perimeter stateless routing (GPSR) in MANET uses one-hop neighbor's location information to make the forwarding decision. GPSR uses proactive update method to distribute position information via periodic “beacon” messages (PMs). The increasing in accuracy ratio leads to high communication overhead that will be in the expense of network resources. To address this problem, this paper presents a simple and efficient updating algorithm using Dynamic Fuzzy Logic Controller and Mobility Prediction (DBUM). DBUM is constructed of two patterns to improve the accuracy of node's location information. DBUM algorithm is able to improve the accuracy of node's location information with less

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Journal: 2018 IEEE International Conference on Electro/Information Technology (EIT)